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# Visualization Resources

https://github.com/walterra/visualization

## State of the Art Discussion

- [The purpose of visualization is insight, not pictures: An interview with visualization pioneer Ben Shneiderman](https://medium.com/multiple-views-visualization-research-explained/the-purpose-of-visualization-is-insight-not-pictures-an-interview-with-visualization-pioneer-ben-beb15b2d8e9b)
- [3rd Wave Data Visualization](https://towardsdatascience.com/3rd-wave-data-visualization-824c5dc84967)
- [What Does “Visualization Literacy” Mean, Anyway?](https://medium.com/multiple-views-visualization-research-explained/what-does-visualization-literacy-mean-anyway-22f3b3badc0)
- [Data Humanism, the Revolution will be Visualized](https://medium.com/@giorgialupi/data-humanism-the-revolution-will-be-visualized-31486a30dbfb)
- [The death of interactive infographics?](https://medium.com/@dominikus/the-end-of-interactive-visualizations-52c585dcafcb)
- [In Defense of Interactive Graphics](https://www.vis4.net/blog/posts/in-defense-of-interactive-graphics/)
- [How do we know that?](https://vimeo.com/209294413)
- [If Data Visualization is So Hot, Why Are People Leaving?](https://medium.com/visualizing-the-field/why-people-leave-their-data-viz-jobs-be1a7ab5dddc)

## The good, the bad and the ugly (do's, don'ts and fails)

- [Doing the Line Charts Right](https://www.vis4.net/blog/posts/doing-the-line-charts-right/)
- [A list of valuable usability tips and guidelines for improving your charts](https://www.eea.europa.eu/data-and-maps/daviz/learn-more/chart-dos-and-donts)
- [Bar Chart vs. Pie Chart](http://vizthinker.com/grudge-match-pie-chart-vs-bar-chart/)
- Correlation vs. Causation
- "Clutter and confusion are not attributes of information they are failures of design."--Edward Tufte
- [Chart Junk](http://en.wikipedia.org/wiki/Chartjunk)
- Charts That Lie
  - [Five Ways to Lie with Charts](http://nautil.us/issue/19/illusions/five-ways-to-lie-with-charts)
  - [Ihaka lectures 2018: Visual trumpery: How charts lie — and how they make us smarter](https://www.youtube.com/watch?v=Cd046xZhO_8)
  - [Alberto Cairo - How Charts Lie: Getting Smarter About Visual Information](https://www.youtube.com/watch?v=Low28hx4wyk)

## Maps & Globes

- [INFO.GRAPHICS Flight Patterns](https://data.info.graphics/flight-patterns/)
- [Earth](https://earth.nullschool.net)
- [Air Traffic Management](http://nats.aero/blog/2014/03/europe-24-air-traffic-data-visualisation/)
- [Flightradar24](https://www.flightradar24.com)
- [Aaron Koblin Flight Patterns](http://www.aaronkoblin.com/work/flightpatterns/)
- [Tell-all telephone](http://www.zeit.de/datenschutz/malte-spitz-data-retention)
- [Tweet Map](https://www.mapd.com/demos/tweetmap/)
- [Electricity Map](https://www.electricitymap.org/?page=map&solar=false&remote=true&wind=false)
- deck.gl
  - https://uber.github.io/deck.gl/#/
  - http://www.kdnuggets.com/2016/06/engineering-intelligence-data-visualization-uber.html
- [mapbox](https://www.mapbox.com/)
- [mapbox + unity](https://blog.mapbox.com/create-a-world-in-minutes-with-the-latest-maps-sdk-for-unity-b4f4455b3883)
- [mapbox + unity + ARKit](https://datadesign.studio/work/dataviz-in-ar/)

## Data Journalism

- [Tell-all telephone](http://www.zeit.de/datenschutz/malte-spitz-data-retention)
- [New York Times Cascade](http://nytlabs.com/projects/cascade.html)
- [Miles of ice collapsing into the sea](https://www.nytimes.com/interactive/2017/05/18/climate/antarctica-ice-melt-climate-change.html)

## Art & Experimental

- [Wikipedia Delete Discussions](http://notabilia.net)
- [The Sheep Market](http://www.thesheepmarket.com/)
- [If the moon were only one pixel](http://joshworth.com/dev/pixelspace/pixelspace_solarsystem.html)
- Processing https://vimeo.com/23753834 https://processing.org/
- [Dear Data](http://www.dear-data.com/)
- [Fantasy Map Generator](https://bl.ocks.org/Azgaar/b845ce22ea68090d43a4ecfb914f51bd)
- [The Art of Arrangement](http://www.johngrimwade.com/blog/2017/04/17/organized/)

## Social Network Analysis

- OrgOrgChart: Visualisierung von Veränderungen innerhalb einer Organisation. OrgOrgChart zeigt Daten aus SAP HR in einem organischen Netzwerk. https://www.youtube.com/watch?v=mkJ-Uy5dt5g
- NodeXL Basic is a free, open-source template for Microsoft® Excel® 2007, 2010, 2013 and 2016 that makes it easy to explore network graphs.  With NodeXL, you can enter a network edge list in a worksheet, click a button and see your graph, all in the familiar environment of the Excel window. https://nodexl.codeplex.com/
- Gephi is the leading visualization and exploration software for all kinds of graphs and networks. Gephi is open-source and free. http://gephi.org
- Facebook Network Analysis Using Gephi https://www.slideshare.net/persuasion/facebook-network-analysis-using-gephi-11390089

## Data Flows

- [The 2018 React JS RoadMap](https://hackernoon.com/the-2018-react-js-roadmap-4d0a43814c02)

## Machine Learning

- [Tutorial Session: Visualization for Machine Learning](https://www.facebook.com/nipsfoundation/videos/203530960558001/) presented by Fernanda Viegas and Martin Wattenberg

## d3.js

- enter/update/exit https://jsfiddle.net/a8rr0dnk/
- Gallery https://github.com/mbostock/d3/wiki/Gallery
- First Steps Tutorial https://www.dashingd3js.com/d3js-first-steps
- Let's make a bubble map http://bost.ocks.org/mike/bubble-map

## Data Visualization + Science Fiction

- ["The Past 100 Years of the Future"](http://bamanda.com/wp-content/uploads/2012/10/AM+A.SciFI+HCI.eBook_.LM10Oct12.pdf)

## Data Visualization + Comics

- [XKCD Movie Timelines](http://xkcd.com/657/large/)

## Apache Zeppelin

- A web-based notebook that enables interactive data analytics. You can make beautiful data-driven, interactive and collaborative documents with SQL, Scala and more. https://zeppelin.apache.org/

## Interactive Documents

- Observable (js/d3 workpads) https://beta.observablehq.com/
- A markup language for interactive documents. https://idyll-lang.org/

## ElasticSearch + Kibana

- Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack, so you can do anything from learning why you're getting paged at 2:00 a.m. to understanding the impact rain might have on your quarterly numbers. https://www.elastic.co/products/kibana

## vega

- Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. With Vega you can describe data visualizations in a JSON format, and generate interactive views using either HTML5 Canvas or SVG. https://github.com/vega/vega
- Vega Voyager 2 - Recommendation-Powered Visualization Tool for Data Exploration https://github.com/vega/voyager
  - Related video, presentation by Jeff Heer: ["Constructing Charts and Graphs"](https://www.youtube.com/watch?v=ouIFSDQwkQM)

## Other Software

- [Tableau](https://www.tableau.com)
- Google Data Studio turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions. https://www.google.com/analytics/data-studio/
- Redash: Connect to any data source, easily visualize and share your data https://redash.io/

## WebGL Frameworks

- [Google Facets](https://pair-code.github.io/facets/)
- [regl - declarative and stateless webgl](http://regl.party/)
- [Stardust.js](https://stardustjs.github.io/examples/)
- [WebVR Starter Kit](https://github.com/povdocs/webvr-starter-kit)

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# Data Sources

- [Gapminder](http://www.gapminder.org/data/)
- [Geonames](http://www.geonames.org/)
- [Kaggle](https://www.kaggle.com/)
- [Data Is Plural — Structured Archive](https://docs.google.com/spreadsheets/d/1wZhPLMCHKJvwOkP4juclhjFgqIY8fQFMemwKL2c64vk/htmlview#)

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# Dataviz + Climate Change

- [We are running out of ...](https://twitter.com/moritz_stefaner/status/1090179242686595073)
- [What's really warming the world?](https://www.bloomberg.com/graphics/2015-whats-warming-the-world/)
- [Simulation zeigt Gedeih und Verderb der Alpengletscher](https://www.spektrum.de/video/simulation-zeigt-gedeih-und-verderb-der-alpengletscher/1606514)

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# Awards

- [Information is Beautiful Awards 2018: The Winners](https://www.informationisbeautifulawards.com/news/323-information-is-beautiful-awards-2018-the-winners)

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# Further Reading / More

- [A data visualization reading (and watching) list](http://www.chadskelton.com/2017/04/data-visualization-reading-list.html)
- [Amananda Cox Keynote OpenVisConf 2017](https://www.youtube.com/watch?v=0L1tGo-DvD0)
- [Mike Bostock Keynote OpenVisConf 2017](https://www.youtube.com/watch?v=lNbqfQlGkzc)
- [Tragic Design](http://www.tragicdesign.com/)
- [D3.js in Action (Elijah Meeks)](https://www.manning.com/books/d3js-in-action-second-edition)
- [The Design of Everyday Things (Don Norman)](https://www.perseusbooks.com/titles/don-norman/the-design-of-everyday-things/9780465072996/)
- [The Big Book of Dashboards (Steve Wexler et al)](http://bigbookofdashboards.com/)
- [The Functional/Truthful Art (Alberto Cairo)](http://www.thefunctionalart.com)
- ["A bunch of people are asking what resources I recommend to start learning graphics programming. So you get a thread on it!"](https://twitter.com/sehurlburt/status/884470105320468481)

# Courses

- [CSE512 Data Visualization (Spring 2018)](https://courses.cs.washington.edu/courses/cse512/18sp/)

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